A dengue location-contraction risk calculation method for analyzing disease-spread

Wahjoe T. Sesulihatien, Yasushi Kiyoki

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Dengue fever is the fastest spreading communicable disease in the world. The virus has been increasing its geographic reach, partly due to increased urbanization and partly due to climate change. From the viewpoint of human movement, population density the most suspected factor in spreading, but some results nowadays show that the relationship between population density and dengue fever is unclear. This paper presents a new approach in measuring human involvement by modelling contagious places. The proposed system includes (1) statistical analysis about correlations between contagious places and Dengue fever cases, (2) a multi-layer weighting method for determining the weight of each cell (3) a ranking and classification method for places' human-mingling, and (4) building a risk-map of contagious places as a control method in Dengue spreading. The result is new dimension to measure vulnerability of land use concerning with pattern of human moving. Our new approach is advantageous for effecting monitoring in change of public facilities, in comparison to the approach based on the population density, It is more useful in urban planning due to priority in evacuation, and control dengue based on places that attract people.

本文言語English
ホスト出版物のタイトルInformation Modelling and Knowledge Bases XXVI
編集者Bernhard Thalheim, Hannu Jaakkola, Naofumi Yoshida, Yasushi Kiyoki
出版社IOS Press
ページ396-407
ページ数12
ISBN(電子版)9781614994718
DOI
出版ステータスPublished - 2014
イベント24th International Conference on Information Modelling and Knowledge Bases, EJC 2014 - Kiel, Germany
継続期間: 2014 6 32014 6 6

出版物シリーズ

名前Frontiers in Artificial Intelligence and Applications
272
ISSN(印刷版)0922-6389

Other

Other24th International Conference on Information Modelling and Knowledge Bases, EJC 2014
国/地域Germany
CityKiel
Period14/6/314/6/6

ASJC Scopus subject areas

  • 人工知能

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